Standout Papers

Latent dirichlet allocation 1991 2026 2002 2014 11.9k
  1. Latent dirichlet allocation (2003)
    David M. Blei, Andrew Y. Ng et al. Journal of Machine Learning Research
  2. Machine learning: Trends, perspectives, and prospects (2015)
    Michael I. Jordan, Tom M. Mitchell Science
  3. On Spectral Clustering: Analysis and an algorithm (2001)
    Andrew Y. Ng, Michael I. Jordan et al. neural information processing systems
  4. An Internal Model for Sensorimotor Integration (1995)
    Daniel M. Wolpert, Zoubin Ghahramani et al. Science
  5. Adaptive Mixtures of Local Experts (1991)
    Robert A. Jacobs, Michael I. Jordan et al. Neural Computation
  6. Optimal feedback control as a theory of motor coordination (2002)
    Emanuel Todorov, Michael I. Jordan Nature Neuroscience
  7. Hierarchical Dirichlet Processes (2006)
    Yee Whye Teh, Michael I. Jordan et al. Journal of the American Statistical Association
  8. An Introduction to Variational Methods for Graphical Models (1999)
    Michael I. Jordan, Zoubin Ghahramani et al. Machine Learning
  9. Learning in Graphical Models (1998)
    Michael I. Jordan DIAL (Catholic University of Leuven)
  10. Graphical Models, Exponential Families, and Variational Inference (2007)
    Martin J. Wainwright, Michael I. Jordan now publishers, Inc. eBooks
  11. Hierarchical Mixtures of Experts and the EM Algorithm (1994)
    Michael I. Jordan, Robert A. Jacobs Neural Computation
  12. Distance Metric Learning with Application to Clustering with Side-Information (2002)
    Eric P. Xing, Michael I. Jordan et al. Neural Information Processing Systems
  13. An Introduction to MCMC for Machine Learning (2003)
    Christophe Andrieu, Nando de Freitas et al. Machine Learning
  14. Trust Region Policy Optimization (2015)
    John Schulman, Sergey Levine et al. arXiv (Cornell University)
  15. Deep generative modeling for single-cell transcriptomics (2018)
    Romain Lopez, Jeffrey Regier et al. Nature Methods
  16. On Discriminative vs. Generative Classifiers: A comparison of logistic regression and naive Bayes (2001)
    Andrew Y. Ng, Michael I. Jordan Neural Information Processing Systems
  17. Forward Models: Supervised Learning with a Distal Teacher (1992)
    Michael I. Jordan, David E. Rumelhart Cognitive Science
  18. Convex and Semi-Nonnegative Matrix Factorizations (2008)
    Chris Ding, Tao Li et al. IEEE Transactions on Pattern Analysis and Machine Intelligence
  19. Active Learning with Statistical Models (1996)
    David Cohn, Zoubin Ghahramani et al. Journal of Artificial Intelligence Research
  20. Variational inference for Dirichlet process mixtures (2006)
    David M. Blei, Michael I. Jordan Bayesian Analysis
  21. The Constrained Laplacian Rank Algorithm for Graph-Based Clustering (2016)
    Feiping Nie, Xiaoqian Wang et al. Proceedings of the AAAI Conference on Artificial Intelligence
  22. Factorial Hidden Markov Models (1997)
    Zoubin Ghahramani, Michael I. Jordan Machine Learning
  23. Convexity, Classification, and Risk Bounds (2006)
    Peter L. Bartlett, Michael I. Jordan et al. Journal of the American Statistical Association
  24. Sensorimotor Adaptation in Speech Production (1998)
    John F. Houde, Michael I. Jordan Science
  25. Transferable Representation Learning with Deep Adaptation Networks (2018)
    Mingsheng Long, Yue Cao et al. IEEE Transactions on Pattern Analysis and Machine Intelligence
  26. A Direct Formulation for Sparse PCA Using Semidefinite Programming (2007)
    Alexandre d’Aspremont, Laurent El Ghaoui et al. SIAM Review
  27. Loopy Belief Propagation for Approximate Inference: An Empirical Study (2013)
    Kevin P. Murphy, Yair Weiss et al. arXiv (Cornell University)
  28. Probabilistic harmonization and annotation of single‐cell transcriptomics data with deep generative models (2021)
    Chenling Xu, Romain Lopez et al. Molecular Systems Biology
  29. Skilful nowcasting of extreme precipitation with NowcastNet (2023)
    Yuchen Zhang, Mingsheng Long et al. Nature
  30. MultiVI: deep generative model for the integration of multimodal data (2023)
    Tal Ashuach, Mariano I. Gabitto et al. Nature Methods

Immediate Impact

16 by Nobel laureates 41 from Science/Nature 89 standout
Sub-graph 1 of 20

Citing Papers

A comprehensive spatio-cellular map of the human hypothalamus
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Spatially organized cellular communities form the developing human heart
2024 StandoutNature

Works of Michael I. Jordan being referenced

Deep generative modeling for single-cell transcriptomics
2018 Standout

Author Peers

Author Last Decade Papers Cites
Michael I. Jordan 29405 3882 6700 11210 7774 412 63.9k
Bernhard Schölkopf 22843 2461 7229 16219 4216 426 61.4k
Jerome H. Friedman 27492 12811 14482 9799 4405 126 121.1k
Leo Breiman 33402 7521 13370 10635 3215 91 136.3k
Vladimir Vapnik 36800 2746 12869 23069 5695 69 107.3k
Yoshua Bengio 48245 721 6683 36948 6721 298 127.8k
Trevor Hastie 24188 18864 29682 11405 5847 272 152.2k
Yann LeCun 32356 417 4906 28495 5191 101 94.7k
Robert Tibshirani 26631 24081 46625 12351 5938 380 181.1k
Donald B. Rubin 21131 52268 5406 4628 4428 384 184.2k
Francisco Herrera 42152 4775 2220 6070 749 693 79.8k

All Works

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2026